Chevron Left
Retour à Introduction to Data Engineering

Avis et commentaires pour d'étudiants pour Introduction to Data Engineering par IBM

4.8
étoiles
762 évaluations
174 avis

À propos du cours

This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. The Data Engineering Ecosystem includes several different components. It includes disparate data types, formats, and sources of data. Data Pipelines gather data from multiple sources, transform it into analytics-ready data, and make it available to data consumers for analytics and decision-making. Data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, and big data stores process and store this data. Data Integration Platforms combine disparate data into a unified view for the data consumers. You will learn about each of these components in this course. You will also learn about Big Data and the use of some of the Big Data processing tools. A typical Data Engineering lifecycle includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. It also includes performance monitoring and finetuning to ensure systems are performing at optimal levels. In this course, you will learn about the data engineering lifecycle. You will also learn about security, governance, and compliance. Data Engineering is recognized as one of the fastest-growing fields today. The career opportunities available in the field and the different paths you can take to enter this field are discussed in the course. The course also includes hands-on labs that guide you to create your IBM Cloud Lite account, provision a database instance, load data into the database instance, and perform some basic querying operations that help you understand your dataset....

Meilleurs avis

MF

25 mars 2022

This course is optimal for the foundations and understanding of Data Engineering. Please take it and absorb all the knowledge and be amazed about your future with the Data Engineer certification.

OL

12 oct. 2021

I am currently studying Chemical Engineering. However, after going for industry training as a data analyst, I decided to venture more in this direction and I really learn a lot from this course.

Filtrer par :

101 - 125 sur 181 Avis pour Introduction to Data Engineering

par Сергей Н

8 sept. 2021

Good start for learning data engineering!

par Santiago B

28 oct. 2021

Muy completo a nivel practico y teórico.

par Christian A

6 oct. 2021

Bastante explicativo Gracias!!!!!!!!!!!

par TRAN B

1 sept. 2021

The course is very good and helpful

par Ruth S B

3 déc. 2021

clear, precise and well documented

par Alena V

29 mars 2022

Very good course for Introduction

par Barima O

20 mai 2022

v​ery interesting and insigtful.

par James R

3 oct. 2021

Good introduction to the course.

par J M

24 sept. 2021

Buena introducción a la materia

par Brian B

13 août 2021

Good introduction to the subject

par Alexandr I

5 févr. 2022

The good course, all good luck!

par Jacó J

20 déc. 2021

Very good introductory course.

par Medrano

7 mars 2022

Great introduction Course!

par Nelson O

17 août 2021

An excellent introduction.

par Mrutyunjay A

13 août 2021

very useful, and engaging!

par Poonam C S

8 juil. 2021

Great introduction course

par Evans J

23 mars 2022

Very good for a beginner

par Aikins A

8 janv. 2022

th one of best courses

par Fernanda C M S

9 janv. 2022

Very good for beginners

par UCHE N

16 nov. 2021

very wonderful training

par Endalamaw S

25 févr. 2022

it was so interesting

par Fernando M

14 mars 2021

Very complete course!

par Manishankar

18 oct. 2021

More usefull course

par Jose G d S O

16 mai 2022

very plesure curse

par Merihun D

8 nov. 2021

v​ery good course